ORIE 5258

ORIE 5258

Course information provided by the Courses of Study 2024-2025.

Python is rapidly becoming a golden standard for quantitative finance. In this course students will be exposed to the powerful and fast open-source data science libraries and specific applications of analyzing financial data sets.

When Offered Fall.

Permission Note Enrollment limited to: first semester ORIE FE MEng students.
Prerequisites/Corequisites Prerequisite: ENGRD 2700 and familiarity with Python.

Comments Non-ORIE FE MEng students may apply if there is capacity by reaching out to Victoria Averbukh at vza1@cornell.edu.

Outcomes
  • Students will enhance their knowledge of Python and Python libraries as they pertain to financial applications.
  • Students will apply their data analysis and statistical knowledge for financial modeling and will work with financial data sets.
  • Students will learn how to draw insights from data science algorithms with the help of Python packages.

View Enrollment Information

Syllabi: none
  •   Seven Week - Second. 

  • 1.5 Credits Graded

  • 13299 ORIE 5258   LEC 001

    • MW Online Meeting
    • Oct 16 - Dec 9, 2024
    • Aldridge, I

  • Instruction Mode: Distance Learning-Synchronous
    Priority given to: first-year Master of Engineering (MEng) Financial Engineering students. Email orie-ug-support@cornell.edu to be added to the waitlist.